Overview

Dataset statistics

Number of variables17
Number of observations193
Missing cells538
Missing cells (%)16.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.8 KiB
Average record size in memory136.7 B

Variable types

Numeric5
Text7
Categorical4
Unsupported1

Alerts

airdate has constant value ""Constant
id is highly overall correlated with id_embeddedHigh correlation
id_embedded is highly overall correlated with id and 1 other fieldsHigh correlation
season is highly overall correlated with id_embeddedHigh correlation
number is highly overall correlated with type and 2 other fieldsHigh correlation
type is highly overall correlated with numberHigh correlation
airtime is highly overall correlated with number and 1 other fieldsHigh correlation
airstamp is highly overall correlated with number and 1 other fieldsHigh correlation
type is highly imbalanced (89.8%)Imbalance
airtime is highly imbalanced (62.4%)Imbalance
number has 4 (2.1%) missing valuesMissing
runtime has 9 (4.7%) missing valuesMissing
rating_average has 193 (100.0%) missing valuesMissing
medium has 112 (58.0%) missing valuesMissing
original has 112 (58.0%) missing valuesMissing
summary has 108 (56.0%) missing valuesMissing
id has unique valuesUnique
url has unique valuesUnique
_links_self has unique valuesUnique
rating_average is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-08-05 19:10:04.727006
Analysis finished2023-08-05 19:10:08.471837
Duration3.74 seconds
Software versionydata-profiling vv4.4.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct193
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2456876.3
Minimum2310624
Maximum2603383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-08-05T14:10:08.559281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2310624
5-th percentile2407722.4
Q12434934
median2445072
Q32463126
95-th percentile2597928.4
Maximum2603383
Range292759
Interquartile range (IQR)28192

Descriptive statistics

Standard deviation48347.27
Coefficient of variation (CV)0.01967835
Kurtosis3.0669237
Mean2456876.3
Median Absolute Deviation (MAD)12944
Skewness1.4739311
Sum4.7417712 × 108
Variance2.3374586 × 109
MonotonicityNot monotonic
2023-08-05T14:10:08.728567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2401586 1
 
0.5%
2445183 1
 
0.5%
2444867 1
 
0.5%
2444869 1
 
0.5%
2444871 1
 
0.5%
2455611 1
 
0.5%
2445181 1
 
0.5%
2432142 1
 
0.5%
2432143 1
 
0.5%
2443161 1
 
0.5%
Other values (183) 183
94.8%
ValueCountFrequency (%)
2310624 1
0.5%
2327474 1
0.5%
2393540 1
0.5%
2395104 1
0.5%
2397086 1
0.5%
2397825 1
0.5%
2399221 1
0.5%
2401160 1
0.5%
2401586 1
0.5%
2403499 1
0.5%
ValueCountFrequency (%)
2603383 1
0.5%
2597937 1
0.5%
2597936 1
0.5%
2597935 1
0.5%
2597934 1
0.5%
2597933 1
0.5%
2597932 1
0.5%
2597931 1
0.5%
2597930 1
0.5%
2597929 1
0.5%

id_embedded
Real number (ℝ)

HIGH CORRELATION 

Distinct117
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56436.596
Minimum81
Maximum69922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-08-05T14:10:09.009234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81
5-th percentile13576.8
Q154125
median64528
Q366103
95-th percentile69511.6
Maximum69922
Range69841
Interquartile range (IQR)11978

Descriptive statistics

Standard deviation16570.64
Coefficient of variation (CV)0.29361515
Kurtosis2.8224512
Mean56436.596
Median Absolute Deviation (MAD)2340
Skewness-1.9020357
Sum10892263
Variance2.745861 × 108
MonotonicityNot monotonic
2023-08-05T14:10:09.166666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66315 16
 
8.3%
69922 10
 
5.2%
64539 8
 
4.1%
65300 6
 
3.1%
67883 5
 
2.6%
65712 5
 
2.6%
66103 4
 
2.1%
5493 4
 
2.1%
65854 4
 
2.1%
46668 3
 
1.6%
Other values (107) 128
66.3%
ValueCountFrequency (%)
81 1
 
0.5%
4175 1
 
0.5%
5493 4
2.1%
6220 1
 
0.5%
7847 1
 
0.5%
9538 1
 
0.5%
13215 1
 
0.5%
13818 2
1.0%
16753 1
 
0.5%
17046 1
 
0.5%
ValueCountFrequency (%)
69922 10
5.2%
69238 2
 
1.0%
68784 1
 
0.5%
68639 1
 
0.5%
68144 1
 
0.5%
67907 1
 
0.5%
67883 5
 
2.6%
67684 2
 
1.0%
67082 1
 
0.5%
66315 16
8.3%

url
Text

UNIQUE 

Distinct193
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-08-05T14:10:09.423460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length131
Median length93
Mean length76.082902
Min length56

Characters and Unicode

Total characters14684
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/2401586/po-sezonu-videodajdzest-seasonvar-8x49-vypusk-407
2nd rowhttps://www.tvmaze.com/episodes/2450909/hocu-vse-znat-2x89-seria-89
3rd rowhttps://www.tvmaze.com/episodes/2450910/hocu-vse-znat-2x90-seria-90
4th rowhttps://www.tvmaze.com/episodes/2438118/restoran-po-ponatiam-2x09-seria-19
5th rowhttps://www.tvmaze.com/episodes/2438119/restoran-po-ponatiam-2x10-seria-20
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2401586/po-sezonu-videodajdzest-seasonvar-8x49-vypusk-407 1
 
0.5%
https://www.tvmaze.com/episodes/2450909/hocu-vse-znat-2x89-seria-89 1
 
0.5%
https://www.tvmaze.com/episodes/2445343/akter-1x02-seria-2 1
 
0.5%
https://www.tvmaze.com/episodes/2450910/hocu-vse-znat-2x90-seria-90 1
 
0.5%
https://www.tvmaze.com/episodes/2438118/restoran-po-ponatiam-2x09-seria-19 1
 
0.5%
https://www.tvmaze.com/episodes/2438119/restoran-po-ponatiam-2x10-seria-20 1
 
0.5%
https://www.tvmaze.com/episodes/2417696/alisa-ne-mozet-zdat-s01-special-film-o-filme 1
 
0.5%
https://www.tvmaze.com/episodes/2401160/konec-sveta-1x08-bal-satany 1
 
0.5%
https://www.tvmaze.com/episodes/2424820/s-nula-1x05-seria-05 1
 
0.5%
https://www.tvmaze.com/episodes/2417609/kungur-1x09-9-seria 1
 
0.5%
Other values (183) 183
94.8%
2023-08-05T14:10:09.867847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1222
 
8.3%
- 1056
 
7.2%
s 988
 
6.7%
/ 965
 
6.6%
t 850
 
5.8%
o 759
 
5.2%
w 641
 
4.4%
a 597
 
4.1%
i 571
 
3.9%
p 535
 
3.6%
Other values (30) 6500
44.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9926
67.6%
Decimal Number 2158
 
14.7%
Other Punctuation 1544
 
10.5%
Dash Punctuation 1056
 
7.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1222
12.3%
s 988
 
10.0%
t 850
 
8.6%
o 759
 
7.6%
w 641
 
6.5%
a 597
 
6.0%
i 571
 
5.8%
p 535
 
5.4%
m 511
 
5.1%
d 409
 
4.1%
Other values (16) 2843
28.6%
Decimal Number
ValueCountFrequency (%)
2 379
17.6%
1 371
17.2%
4 338
15.7%
0 235
10.9%
3 205
9.5%
5 177
8.2%
9 137
 
6.3%
6 129
 
6.0%
8 112
 
5.2%
7 75
 
3.5%
Other Punctuation
ValueCountFrequency (%)
/ 965
62.5%
. 386
 
25.0%
: 193
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 1056
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9926
67.6%
Common 4758
32.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1222
12.3%
s 988
 
10.0%
t 850
 
8.6%
o 759
 
7.6%
w 641
 
6.5%
a 597
 
6.0%
i 571
 
5.8%
p 535
 
5.4%
m 511
 
5.1%
d 409
 
4.1%
Other values (16) 2843
28.6%
Common
ValueCountFrequency (%)
- 1056
22.2%
/ 965
20.3%
. 386
 
8.1%
2 379
 
8.0%
1 371
 
7.8%
4 338
 
7.1%
0 235
 
4.9%
3 205
 
4.3%
: 193
 
4.1%
5 177
 
3.7%
Other values (4) 453
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1222
 
8.3%
- 1056
 
7.2%
s 988
 
6.7%
/ 965
 
6.6%
t 850
 
5.8%
o 759
 
5.2%
w 641
 
4.4%
a 597
 
4.1%
i 571
 
3.9%
p 535
 
3.6%
Other values (30) 6500
44.3%

name
Text

Distinct168
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-08-05T14:10:10.212872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length48
Mean length14.274611
Min length3

Characters and Unicode

Total characters2755
Distinct characters134
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)78.8%

Sample

1st rowВыпуск 407
2nd rowСерия 89
3rd rowСерия 90
4th rowСерия 19
5th rowСерия 20
ValueCountFrequency (%)
episode 45
 
8.8%
серия 27
 
5.3%
the 15
 
2.9%
2 8
 
1.6%
3 8
 
1.6%
8 7
 
1.4%
1 7
 
1.4%
4 7
 
1.4%
выпуск 5
 
1.0%
9 5
 
1.0%
Other values (328) 380
73.9%
2023-08-05T14:10:10.744419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
321
 
11.7%
e 217
 
7.9%
i 154
 
5.6%
o 134
 
4.9%
s 129
 
4.7%
a 110
 
4.0%
n 99
 
3.6%
t 95
 
3.4%
d 86
 
3.1%
r 83
 
3.0%
Other values (124) 1327
48.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1787
64.9%
Uppercase Letter 423
 
15.4%
Space Separator 321
 
11.7%
Decimal Number 164
 
6.0%
Other Punctuation 30
 
1.1%
Other Letter 17
 
0.6%
Dash Punctuation 10
 
0.4%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 217
 
12.1%
i 154
 
8.6%
o 134
 
7.5%
s 129
 
7.2%
a 110
 
6.2%
n 99
 
5.5%
t 95
 
5.3%
d 86
 
4.8%
r 83
 
4.6%
p 66
 
3.7%
Other values (50) 614
34.4%
Uppercase Letter
ValueCountFrequency (%)
E 77
18.2%
С 28
 
6.6%
T 23
 
5.4%
D 23
 
5.4%
S 21
 
5.0%
L 18
 
4.3%
N 17
 
4.0%
R 17
 
4.0%
A 17
 
4.0%
P 16
 
3.8%
Other values (31) 166
39.2%
Decimal Number
ValueCountFrequency (%)
1 41
25.0%
2 27
16.5%
3 20
12.2%
8 15
 
9.1%
4 15
 
9.1%
0 12
 
7.3%
5 11
 
6.7%
9 10
 
6.1%
6 9
 
5.5%
7 4
 
2.4%
Other Letter
ValueCountFrequency (%)
ي 3
17.6%
ب 3
17.6%
ا 3
17.6%
ل 3
17.6%
ر 1
 
5.9%
ن 1
 
5.9%
ح 1
 
5.9%
ق 1
 
5.9%
ة 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 9
30.0%
" 6
20.0%
! 4
13.3%
: 4
13.3%
' 3
 
10.0%
, 2
 
6.7%
/ 1
 
3.3%
? 1
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 9
90.0%
1
 
10.0%
Space Separator
ValueCountFrequency (%)
321
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1871
67.9%
Common 528
 
19.2%
Cyrillic 339
 
12.3%
Arabic 17
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 217
 
11.6%
i 154
 
8.2%
o 134
 
7.2%
s 129
 
6.9%
a 110
 
5.9%
n 99
 
5.3%
t 95
 
5.1%
d 86
 
4.6%
r 83
 
4.4%
E 77
 
4.1%
Other values (49) 687
36.7%
Cyrillic
ValueCountFrequency (%)
и 41
 
12.1%
е 37
 
10.9%
р 34
 
10.0%
я 30
 
8.8%
С 28
 
8.3%
а 16
 
4.7%
о 14
 
4.1%
к 13
 
3.8%
с 11
 
3.2%
т 9
 
2.7%
Other values (32) 106
31.3%
Common
ValueCountFrequency (%)
321
60.8%
1 41
 
7.8%
2 27
 
5.1%
3 20
 
3.8%
8 15
 
2.8%
4 15
 
2.8%
0 12
 
2.3%
5 11
 
2.1%
9 10
 
1.9%
- 9
 
1.7%
Other values (14) 47
 
8.9%
Arabic
ValueCountFrequency (%)
ي 3
17.6%
ب 3
17.6%
ا 3
17.6%
ل 3
17.6%
ر 1
 
5.9%
ن 1
 
5.9%
ح 1
 
5.9%
ق 1
 
5.9%
ة 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2382
86.5%
Cyrillic 339
 
12.3%
Arabic 17
 
0.6%
None 15
 
0.5%
Letterlike Symbols 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
321
 
13.5%
e 217
 
9.1%
i 154
 
6.5%
o 134
 
5.6%
s 129
 
5.4%
a 110
 
4.6%
n 99
 
4.2%
t 95
 
4.0%
d 86
 
3.6%
r 83
 
3.5%
Other values (61) 954
40.1%
Cyrillic
ValueCountFrequency (%)
и 41
 
12.1%
е 37
 
10.9%
р 34
 
10.0%
я 30
 
8.8%
С 28
 
8.3%
а 16
 
4.7%
о 14
 
4.1%
к 13
 
3.8%
с 11
 
3.2%
т 9
 
2.7%
Other values (32) 106
31.3%
None
ValueCountFrequency (%)
è 3
20.0%
é 3
20.0%
ó 2
13.3%
À 1
 
6.7%
â 1
 
6.7%
ü 1
 
6.7%
ö 1
 
6.7%
å 1
 
6.7%
ä 1
 
6.7%
ú 1
 
6.7%
Arabic
ValueCountFrequency (%)
ي 3
17.6%
ب 3
17.6%
ا 3
17.6%
ل 3
17.6%
ر 1
 
5.9%
ن 1
 
5.9%
ح 1
 
5.9%
ق 1
 
5.9%
ة 1
 
5.9%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%

season
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.569948
Minimum1
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-08-05T14:10:10.891825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile25
Maximum2022
Range2021
Interquartile range (IQR)2

Descriptive statistics

Standard deviation403.54788
Coefficient of variation (CV)4.6615239
Kurtosis19.699657
Mean86.569948
Median Absolute Deviation (MAD)0
Skewness4.6359578
Sum16708
Variance162850.89
MonotonicityNot monotonic
2023-08-05T14:10:11.029028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 124
64.2%
3 15
 
7.8%
2 14
 
7.3%
2022 8
 
4.1%
5 8
 
4.1%
4 5
 
2.6%
8 2
 
1.0%
11 2
 
1.0%
6 2
 
1.0%
9 2
 
1.0%
Other values (10) 11
 
5.7%
ValueCountFrequency (%)
1 124
64.2%
2 14
 
7.3%
3 15
 
7.8%
4 5
 
2.6%
5 8
 
4.1%
6 2
 
1.0%
7 1
 
0.5%
8 2
 
1.0%
9 2
 
1.0%
10 1
 
0.5%
ValueCountFrequency (%)
2022 8
4.1%
39 1
 
0.5%
28 1
 
0.5%
23 1
 
0.5%
22 1
 
0.5%
19 1
 
0.5%
17 1
 
0.5%
16 1
 
0.5%
13 2
 
1.0%
11 2
 
1.0%

number
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct46
Distinct (%)24.3%
Missing4
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean19.687831
Minimum1
Maximum267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-08-05T14:10:11.182149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median8
Q314
95-th percentile89.6
Maximum267
Range266
Interquartile range (IQR)11

Descriptive statistics

Standard deviation38.905818
Coefficient of variation (CV)1.9761353
Kurtosis20.00461
Mean19.687831
Median Absolute Deviation (MAD)5
Skewness4.1706522
Sum3721
Variance1513.6627
MonotonicityNot monotonic
2023-08-05T14:10:11.330633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
2 18
 
9.3%
4 15
 
7.8%
1 15
 
7.8%
3 15
 
7.8%
8 14
 
7.3%
9 11
 
5.7%
5 11
 
5.7%
12 10
 
5.2%
6 8
 
4.1%
7 7
 
3.6%
Other values (36) 65
33.7%
ValueCountFrequency (%)
1 15
7.8%
2 18
9.3%
3 15
7.8%
4 15
7.8%
5 11
5.7%
6 8
4.1%
7 7
 
3.6%
8 14
7.3%
9 11
5.7%
10 5
 
2.6%
ValueCountFrequency (%)
267 1
0.5%
245 1
0.5%
240 1
0.5%
154 1
0.5%
140 1
0.5%
126 1
0.5%
125 1
0.5%
98 1
0.5%
90 2
1.0%
89 1
0.5%

type
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
regular
189 
insignificant_special
 
3
significant_special
 
1

Length

Max length21
Median length7
Mean length7.2797927
Min length7

Characters and Unicode

Total characters1405
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular 189
97.9%
insignificant_special 3
 
1.6%
significant_special 1
 
0.5%

Length

2023-08-05T14:10:11.478112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T14:10:11.596991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
regular 189
97.9%
insignificant_special 3
 
1.6%
significant_special 1
 
0.5%

Most occurring characters

ValueCountFrequency (%)
r 378
26.9%
a 197
14.0%
e 193
13.7%
g 193
13.7%
l 193
13.7%
u 189
13.5%
i 19
 
1.4%
n 11
 
0.8%
s 8
 
0.6%
c 8
 
0.6%
Other values (4) 16
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1401
99.7%
Connector Punctuation 4
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 378
27.0%
a 197
14.1%
e 193
13.8%
g 193
13.8%
l 193
13.8%
u 189
13.5%
i 19
 
1.4%
n 11
 
0.8%
s 8
 
0.6%
c 8
 
0.6%
Other values (3) 12
 
0.9%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1401
99.7%
Common 4
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 378
27.0%
a 197
14.1%
e 193
13.8%
g 193
13.8%
l 193
13.8%
u 189
13.5%
i 19
 
1.4%
n 11
 
0.8%
s 8
 
0.6%
c 8
 
0.6%
Other values (3) 12
 
0.9%
Common
ValueCountFrequency (%)
_ 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1405
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 378
26.9%
a 197
14.0%
e 193
13.7%
g 193
13.7%
l 193
13.7%
u 189
13.5%
i 19
 
1.4%
n 11
 
0.8%
s 8
 
0.6%
c 8
 
0.6%
Other values (4) 16
 
1.1%

airdate
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2022-12-08
193 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1930
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-08
2nd row2022-12-08
3rd row2022-12-08
4th row2022-12-08
5th row2022-12-08

Common Values

ValueCountFrequency (%)
2022-12-08 193
100.0%

Length

2023-08-05T14:10:11.739596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T14:10:11.847099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-08 193
100.0%

Most occurring characters

ValueCountFrequency (%)
2 772
40.0%
0 386
20.0%
- 386
20.0%
1 193
 
10.0%
8 193
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1544
80.0%
Dash Punctuation 386
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 772
50.0%
0 386
25.0%
1 193
 
12.5%
8 193
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 386
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1930
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 772
40.0%
0 386
20.0%
- 386
20.0%
1 193
 
10.0%
8 193
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1930
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 772
40.0%
0 386
20.0%
- 386
20.0%
1 193
 
10.0%
8 193
 
10.0%

airtime
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct18
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
148 
12:00
16 
11:30
 
4
21:00
 
4
10:00
 
3
Other values (13)
18 

Length

Max length5
Median length0
Mean length1.1658031
Min length0

Characters and Unicode

Total characters225
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)4.7%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
148
76.7%
12:00 16
 
8.3%
11:30 4
 
2.1%
21:00 4
 
2.1%
10:00 3
 
1.6%
22:00 3
 
1.6%
00:00 2
 
1.0%
18:00 2
 
1.0%
17:35 2
 
1.0%
06:00 1
 
0.5%
Other values (8) 8
 
4.1%

Length

2023-08-05T14:10:11.971593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
12:00 16
35.6%
21:00 4
 
8.9%
11:30 4
 
8.9%
10:00 3
 
6.7%
22:00 3
 
6.7%
00:00 2
 
4.4%
18:00 2
 
4.4%
17:35 2
 
4.4%
20:20 1
 
2.2%
07:00 1
 
2.2%
Other values (7) 7
15.6%

Most occurring characters

ValueCountFrequency (%)
0 87
38.7%
: 45
20.0%
1 41
18.2%
2 30
 
13.3%
3 8
 
3.6%
5 4
 
1.8%
9 4
 
1.8%
7 3
 
1.3%
8 2
 
0.9%
6 1
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 180
80.0%
Other Punctuation 45
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 87
48.3%
1 41
22.8%
2 30
 
16.7%
3 8
 
4.4%
5 4
 
2.2%
9 4
 
2.2%
7 3
 
1.7%
8 2
 
1.1%
6 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
: 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 225
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 87
38.7%
: 45
20.0%
1 41
18.2%
2 30
 
13.3%
3 8
 
3.6%
5 4
 
1.8%
9 4
 
1.8%
7 3
 
1.3%
8 2
 
0.9%
6 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 225
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 87
38.7%
: 45
20.0%
1 41
18.2%
2 30
 
13.3%
3 8
 
3.6%
5 4
 
1.8%
9 4
 
1.8%
7 3
 
1.3%
8 2
 
0.9%
6 1
 
0.4%

airstamp
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2022-12-08T12:00:00+00:00
85 
2022-12-08T17:00:00+00:00
22 
2022-12-08T11:00:00+00:00
19 
2022-12-08T00:00:00+00:00
16 
2022-12-08T04:00:00+00:00
14 
Other values (19)
37 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters4825
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)5.7%

Sample

1st row2022-12-08T00:00:00+00:00
2nd row2022-12-08T00:00:00+00:00
3rd row2022-12-08T00:00:00+00:00
4th row2022-12-08T00:00:00+00:00
5th row2022-12-08T00:00:00+00:00

Common Values

ValueCountFrequency (%)
2022-12-08T12:00:00+00:00 85
44.0%
2022-12-08T17:00:00+00:00 22
 
11.4%
2022-12-08T11:00:00+00:00 19
 
9.8%
2022-12-08T00:00:00+00:00 16
 
8.3%
2022-12-08T04:00:00+00:00 14
 
7.3%
2022-12-08T16:00:00+00:00 5
 
2.6%
2022-12-08T03:00:00+00:00 5
 
2.6%
2022-12-08T03:30:00+00:00 4
 
2.1%
2022-12-08T10:00:00+00:00 3
 
1.6%
2022-12-08T02:00:00+00:00 3
 
1.6%
Other values (14) 17
 
8.8%

Length

2023-08-05T14:10:12.101843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-12-08t12:00:00+00:00 85
44.0%
2022-12-08t17:00:00+00:00 22
 
11.4%
2022-12-08t11:00:00+00:00 19
 
9.8%
2022-12-08t00:00:00+00:00 16
 
8.3%
2022-12-08t04:00:00+00:00 14
 
7.3%
2022-12-08t16:00:00+00:00 5
 
2.6%
2022-12-08t03:00:00+00:00 5
 
2.6%
2022-12-08t03:30:00+00:00 4
 
2.1%
2022-12-08t10:00:00+00:00 3
 
1.6%
2022-12-08t02:00:00+00:00 3
 
1.6%
Other values (14) 17
 
8.8%

Most occurring characters

ValueCountFrequency (%)
0 1989
41.2%
2 866
17.9%
: 579
 
12.0%
- 386
 
8.0%
1 354
 
7.3%
8 194
 
4.0%
T 193
 
4.0%
+ 193
 
4.0%
7 23
 
0.5%
3 19
 
0.4%
Other values (4) 29
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3474
72.0%
Other Punctuation 579
 
12.0%
Dash Punctuation 386
 
8.0%
Uppercase Letter 193
 
4.0%
Math Symbol 193
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1989
57.3%
2 866
24.9%
1 354
 
10.2%
8 194
 
5.6%
7 23
 
0.7%
3 19
 
0.5%
4 14
 
0.4%
5 7
 
0.2%
6 5
 
0.1%
9 3
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 579
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 386
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 193
100.0%
Math Symbol
ValueCountFrequency (%)
+ 193
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4632
96.0%
Latin 193
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1989
42.9%
2 866
18.7%
: 579
 
12.5%
- 386
 
8.3%
1 354
 
7.6%
8 194
 
4.2%
+ 193
 
4.2%
7 23
 
0.5%
3 19
 
0.4%
4 14
 
0.3%
Other values (3) 15
 
0.3%
Latin
ValueCountFrequency (%)
T 193
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4825
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1989
41.2%
2 866
17.9%
: 579
 
12.0%
- 386
 
8.0%
1 354
 
7.3%
8 194
 
4.0%
T 193
 
4.0%
+ 193
 
4.0%
7 23
 
0.5%
3 19
 
0.4%
Other values (4) 29
 
0.6%

runtime
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)30.4%
Missing9
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean37.744565
Minimum2
Maximum251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-08-05T14:10:12.239896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q120.75
median33
Q347
95-th percentile60
Maximum251
Range249
Interquartile range (IQR)26.25

Descriptive statistics

Standard deviation30.064502
Coefficient of variation (CV)0.79652533
Kurtosis19.999252
Mean37.744565
Median Absolute Deviation (MAD)14
Skewness3.5986571
Sum6945
Variance903.87429
MonotonicityNot monotonic
2023-08-05T14:10:12.444443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47 19
 
9.8%
60 10
 
5.2%
30 10
 
5.2%
25 9
 
4.7%
10 8
 
4.1%
45 7
 
3.6%
20 7
 
3.6%
43 6
 
3.1%
32 6
 
3.1%
2 6
 
3.1%
Other values (46) 96
49.7%
(Missing) 9
 
4.7%
ValueCountFrequency (%)
2 6
3.1%
4 2
 
1.0%
5 1
 
0.5%
6 3
 
1.6%
7 1
 
0.5%
8 1
 
0.5%
10 8
4.1%
12 3
 
1.6%
14 2
 
1.0%
15 3
 
1.6%
ValueCountFrequency (%)
251 1
 
0.5%
200 1
 
0.5%
180 1
 
0.5%
125 1
 
0.5%
123 1
 
0.5%
101 1
 
0.5%
80 1
 
0.5%
63 2
 
1.0%
60 10
5.2%
59 1
 
0.5%

rating_average
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing193
Missing (%)100.0%
Memory size1.6 KiB

medium
Text

MISSING 

Distinct81
Distinct (%)100.0%
Missing112
Missing (%)58.0%
Memory size1.6 KiB
2023-08-05T14:10:12.672312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length73
Mean length73
Min length73

Characters and Unicode

Total characters5913
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084532.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084593.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084592.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084746.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/434/1087344.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/435/1089726.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/439/1098147.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084593.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084592.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084746.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1087344.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084602.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1085611.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1085612.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1085613.jpg 1
 
1.2%
Other values (71) 71
87.7%
2023-08-05T14:10:13.072310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 567
 
9.6%
a 486
 
8.2%
s 405
 
6.8%
m 405
 
6.8%
t 405
 
6.8%
p 324
 
5.5%
e 324
 
5.5%
i 243
 
4.1%
c 243
 
4.1%
. 243
 
4.1%
Other values (22) 2268
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4131
69.9%
Other Punctuation 891
 
15.1%
Decimal Number 810
 
13.7%
Connector Punctuation 81
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 486
11.8%
s 405
9.8%
m 405
9.8%
t 405
9.8%
p 324
 
7.8%
e 324
 
7.8%
i 243
 
5.9%
c 243
 
5.9%
d 243
 
5.9%
u 162
 
3.9%
Other values (8) 891
21.6%
Decimal Number
ValueCountFrequency (%)
4 164
20.2%
1 132
16.3%
3 123
15.2%
0 86
10.6%
8 76
9.4%
5 64
 
7.9%
9 55
 
6.8%
6 46
 
5.7%
7 38
 
4.7%
2 26
 
3.2%
Other Punctuation
ValueCountFrequency (%)
/ 567
63.6%
. 243
27.3%
: 81
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4131
69.9%
Common 1782
30.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 486
11.8%
s 405
9.8%
m 405
9.8%
t 405
9.8%
p 324
 
7.8%
e 324
 
7.8%
i 243
 
5.9%
c 243
 
5.9%
d 243
 
5.9%
u 162
 
3.9%
Other values (8) 891
21.6%
Common
ValueCountFrequency (%)
/ 567
31.8%
. 243
13.6%
4 164
 
9.2%
1 132
 
7.4%
3 123
 
6.9%
0 86
 
4.8%
_ 81
 
4.5%
: 81
 
4.5%
8 76
 
4.3%
5 64
 
3.6%
Other values (4) 165
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5913
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 567
 
9.6%
a 486
 
8.2%
s 405
 
6.8%
m 405
 
6.8%
t 405
 
6.8%
p 324
 
5.5%
e 324
 
5.5%
i 243
 
4.1%
c 243
 
4.1%
. 243
 
4.1%
Other values (22) 2268
38.4%

original
Text

MISSING 

Distinct81
Distinct (%)100.0%
Missing112
Missing (%)58.0%
Memory size1.6 KiB
2023-08-05T14:10:13.327428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length75
Mean length75
Min length75

Characters and Unicode

Total characters6075
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1084532.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1084593.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1084592.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1084746.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/434/1087344.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/435/1089726.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/439/1098147.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084593.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084592.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084746.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/434/1087344.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084602.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/434/1085611.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/434/1085612.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/434/1085613.jpg 1
 
1.2%
Other values (71) 71
87.7%
2023-08-05T14:10:13.697847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 567
 
9.3%
t 486
 
8.0%
a 405
 
6.7%
s 324
 
5.3%
o 324
 
5.3%
i 324
 
5.3%
m 243
 
4.0%
u 243
 
4.0%
e 243
 
4.0%
g 243
 
4.0%
Other values (23) 2673
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4293
70.7%
Other Punctuation 891
 
14.7%
Decimal Number 810
 
13.3%
Connector Punctuation 81
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 486
 
11.3%
a 405
 
9.4%
s 324
 
7.5%
o 324
 
7.5%
i 324
 
7.5%
m 243
 
5.7%
u 243
 
5.7%
e 243
 
5.7%
g 243
 
5.7%
c 243
 
5.7%
Other values (9) 1215
28.3%
Decimal Number
ValueCountFrequency (%)
4 164
20.2%
1 132
16.3%
3 123
15.2%
0 86
10.6%
8 76
9.4%
5 64
 
7.9%
9 55
 
6.8%
6 46
 
5.7%
7 38
 
4.7%
2 26
 
3.2%
Other Punctuation
ValueCountFrequency (%)
/ 567
63.6%
. 243
27.3%
: 81
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4293
70.7%
Common 1782
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 486
 
11.3%
a 405
 
9.4%
s 324
 
7.5%
o 324
 
7.5%
i 324
 
7.5%
m 243
 
5.7%
u 243
 
5.7%
e 243
 
5.7%
g 243
 
5.7%
c 243
 
5.7%
Other values (9) 1215
28.3%
Common
ValueCountFrequency (%)
/ 567
31.8%
. 243
13.6%
4 164
 
9.2%
1 132
 
7.4%
3 123
 
6.9%
0 86
 
4.8%
_ 81
 
4.5%
: 81
 
4.5%
8 76
 
4.3%
5 64
 
3.6%
Other values (4) 165
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 567
 
9.3%
t 486
 
8.0%
a 405
 
6.7%
s 324
 
5.3%
o 324
 
5.3%
i 324
 
5.3%
m 243
 
4.0%
u 243
 
4.0%
e 243
 
4.0%
g 243
 
4.0%
Other values (23) 2673
44.0%

_links_self
Text

UNIQUE 

Distinct193
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-08-05T14:10:13.914697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters7527
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2401586
2nd rowhttps://api.tvmaze.com/episodes/2450909
3rd rowhttps://api.tvmaze.com/episodes/2450910
4th rowhttps://api.tvmaze.com/episodes/2438118
5th rowhttps://api.tvmaze.com/episodes/2438119
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/2401586 1
 
0.5%
https://api.tvmaze.com/episodes/2450909 1
 
0.5%
https://api.tvmaze.com/episodes/2445343 1
 
0.5%
https://api.tvmaze.com/episodes/2450910 1
 
0.5%
https://api.tvmaze.com/episodes/2438118 1
 
0.5%
https://api.tvmaze.com/episodes/2438119 1
 
0.5%
https://api.tvmaze.com/episodes/2417696 1
 
0.5%
https://api.tvmaze.com/episodes/2401160 1
 
0.5%
https://api.tvmaze.com/episodes/2424820 1
 
0.5%
https://api.tvmaze.com/episodes/2417609 1
 
0.5%
Other values (183) 183
94.8%
2023-08-05T14:10:14.261265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 772
 
10.3%
p 579
 
7.7%
s 579
 
7.7%
e 579
 
7.7%
t 579
 
7.7%
o 386
 
5.1%
a 386
 
5.1%
i 386
 
5.1%
. 386
 
5.1%
m 386
 
5.1%
Other values (16) 2509
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4825
64.1%
Other Punctuation 1351
 
17.9%
Decimal Number 1351
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 579
12.0%
s 579
12.0%
e 579
12.0%
t 579
12.0%
o 386
8.0%
a 386
8.0%
i 386
8.0%
m 386
8.0%
h 193
 
4.0%
d 193
 
4.0%
Other values (3) 579
12.0%
Decimal Number
ValueCountFrequency (%)
4 287
21.2%
2 260
19.2%
3 140
10.4%
5 135
10.0%
1 121
9.0%
9 106
 
7.8%
6 100
 
7.4%
0 77
 
5.7%
8 66
 
4.9%
7 59
 
4.4%
Other Punctuation
ValueCountFrequency (%)
/ 772
57.1%
. 386
28.6%
: 193
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 4825
64.1%
Common 2702
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 772
28.6%
. 386
14.3%
4 287
 
10.6%
2 260
 
9.6%
: 193
 
7.1%
3 140
 
5.2%
5 135
 
5.0%
1 121
 
4.5%
9 106
 
3.9%
6 100
 
3.7%
Other values (3) 202
 
7.5%
Latin
ValueCountFrequency (%)
p 579
12.0%
s 579
12.0%
e 579
12.0%
t 579
12.0%
o 386
8.0%
a 386
8.0%
i 386
8.0%
m 386
8.0%
h 193
 
4.0%
d 193
 
4.0%
Other values (3) 579
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7527
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 772
 
10.3%
p 579
 
7.7%
s 579
 
7.7%
e 579
 
7.7%
t 579
 
7.7%
o 386
 
5.1%
a 386
 
5.1%
i 386
 
5.1%
. 386
 
5.1%
m 386
 
5.1%
Other values (16) 2509
33.3%
Distinct117
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-08-05T14:10:14.474443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length34
Mean length33.943005
Min length31

Characters and Unicode

Total characters6551
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)45.6%

Sample

1st rowhttps://api.tvmaze.com/shows/7847
2nd rowhttps://api.tvmaze.com/shows/55724
3rd rowhttps://api.tvmaze.com/shows/55724
4th rowhttps://api.tvmaze.com/shows/59201
5th rowhttps://api.tvmaze.com/shows/59201
ValueCountFrequency (%)
https://api.tvmaze.com/shows/66315 16
 
8.3%
https://api.tvmaze.com/shows/69922 10
 
5.2%
https://api.tvmaze.com/shows/64539 8
 
4.1%
https://api.tvmaze.com/shows/65300 6
 
3.1%
https://api.tvmaze.com/shows/67883 5
 
2.6%
https://api.tvmaze.com/shows/65712 5
 
2.6%
https://api.tvmaze.com/shows/66103 4
 
2.1%
https://api.tvmaze.com/shows/5493 4
 
2.1%
https://api.tvmaze.com/shows/65854 4
 
2.1%
https://api.tvmaze.com/shows/65504 3
 
1.6%
Other values (107) 128
66.3%
2023-08-05T14:10:14.816804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 772
 
11.8%
s 579
 
8.8%
t 579
 
8.8%
h 386
 
5.9%
p 386
 
5.9%
a 386
 
5.9%
. 386
 
5.9%
o 386
 
5.9%
m 386
 
5.9%
6 208
 
3.2%
Other values (16) 2097
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4246
64.8%
Other Punctuation 1351
 
20.6%
Decimal Number 954
 
14.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 579
13.6%
t 579
13.6%
h 386
9.1%
p 386
9.1%
a 386
9.1%
o 386
9.1%
m 386
9.1%
e 193
 
4.5%
w 193
 
4.5%
c 193
 
4.5%
Other values (3) 579
13.6%
Decimal Number
ValueCountFrequency (%)
6 208
21.8%
5 138
14.5%
3 99
10.4%
4 98
10.3%
2 93
9.7%
1 81
 
8.5%
9 70
 
7.3%
0 60
 
6.3%
8 60
 
6.3%
7 47
 
4.9%
Other Punctuation
ValueCountFrequency (%)
/ 772
57.1%
. 386
28.6%
: 193
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 4246
64.8%
Common 2305
35.2%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 772
33.5%
. 386
16.7%
6 208
 
9.0%
: 193
 
8.4%
5 138
 
6.0%
3 99
 
4.3%
4 98
 
4.3%
2 93
 
4.0%
1 81
 
3.5%
9 70
 
3.0%
Other values (3) 167
 
7.2%
Latin
ValueCountFrequency (%)
s 579
13.6%
t 579
13.6%
h 386
9.1%
p 386
9.1%
a 386
9.1%
o 386
9.1%
m 386
9.1%
e 193
 
4.5%
w 193
 
4.5%
c 193
 
4.5%
Other values (3) 579
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6551
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 772
 
11.8%
s 579
 
8.8%
t 579
 
8.8%
h 386
 
5.9%
p 386
 
5.9%
a 386
 
5.9%
. 386
 
5.9%
o 386
 
5.9%
m 386
 
5.9%
6 208
 
3.2%
Other values (16) 2097
32.0%

summary
Text

MISSING 

Distinct85
Distinct (%)100.0%
Missing108
Missing (%)56.0%
Memory size1.6 KiB
2023-08-05T14:10:15.142435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length622
Median length219
Mean length220.55294
Min length35

Characters and Unicode

Total characters18747
Distinct characters84
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)100.0%

Sample

1st row<p>Seon Heo and Mu Yeong drink together after work. Drinking through the night, Seon Heo suddenly asks to draw Mu Yeong naked?</p>
2nd row<p>No time before Christmas without a Christmas workshop! It turns out to be both cozy and stressful.</p>
3rd row<p>When Detective Martin arrives at a crime scene where a shooting has taken place, he gets the shock of his life. One of the victims of the shooting is an acquaintance of his. A criminal of the old order, but also a father figure to Martin. Shortly after the murder, someone contacts him. There must be room for a new criminal generation with different rules: if you don't cooperate, you get a bullet.</p>
4th row<p>The police find a murdered detective. A special team from outside is assigned to the case. When Rob and Rachid patrol together for the first time, they drive straight into every police officer's nightmare. Tarik discovers that the murdered detective was corrupt. That puts everything and everyone on edge. Willem tries to convince Martin to join Dwight's organization.</p>
5th row<p>Martin lies to those closest to him out of self-defense. But not every lie goes unnoticed. Under pressure from Dwight, Willem continues to push Martin: what is the name of the key witness? When Martin discovers that name, he finds out that passing on the name will cost him dearly. He loses control and anxiously tries to regain control.</p>
ValueCountFrequency (%)
the 162
 
5.2%
to 108
 
3.5%
and 90
 
2.9%
a 90
 
2.9%
of 65
 
2.1%
with 43
 
1.4%
in 41
 
1.3%
is 38
 
1.2%
his 38
 
1.2%
on 32
 
1.0%
Other values (1390) 2381
77.1%
2023-08-05T14:10:15.645715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2998
16.0%
e 1754
 
9.4%
t 1224
 
6.5%
a 1183
 
6.3%
i 1075
 
5.7%
o 1035
 
5.5%
n 1026
 
5.5%
s 1019
 
5.4%
r 937
 
5.0%
h 746
 
4.0%
Other values (74) 5750
30.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14153
75.5%
Space Separator 3003
 
16.0%
Uppercase Letter 627
 
3.3%
Other Punctuation 531
 
2.8%
Math Symbol 352
 
1.9%
Dash Punctuation 41
 
0.2%
Decimal Number 40
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1754
12.4%
t 1224
 
8.6%
a 1183
 
8.4%
i 1075
 
7.6%
o 1035
 
7.3%
n 1026
 
7.2%
s 1019
 
7.2%
r 937
 
6.6%
h 746
 
5.3%
l 544
 
3.8%
Other values (21) 3610
25.5%
Uppercase Letter
ValueCountFrequency (%)
T 68
 
10.8%
M 65
 
10.4%
S 52
 
8.3%
A 49
 
7.8%
H 41
 
6.5%
B 36
 
5.7%
D 34
 
5.4%
J 32
 
5.1%
W 28
 
4.5%
C 28
 
4.5%
Other values (16) 194
30.9%
Other Punctuation
ValueCountFrequency (%)
. 195
36.7%
, 139
26.2%
/ 90
16.9%
' 65
 
12.2%
" 16
 
3.0%
? 8
 
1.5%
; 7
 
1.3%
: 5
 
0.9%
! 4
 
0.8%
2
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 12
30.0%
1 6
15.0%
0 6
15.0%
9 4
 
10.0%
3 4
 
10.0%
6 2
 
5.0%
8 2
 
5.0%
5 2
 
5.0%
4 1
 
2.5%
7 1
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 37
90.2%
2
 
4.9%
2
 
4.9%
Space Separator
ValueCountFrequency (%)
2998
99.8%
  5
 
0.2%
Math Symbol
ValueCountFrequency (%)
< 176
50.0%
> 176
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14780
78.8%
Common 3967
 
21.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1754
11.9%
t 1224
 
8.3%
a 1183
 
8.0%
i 1075
 
7.3%
o 1035
 
7.0%
n 1026
 
6.9%
s 1019
 
6.9%
r 937
 
6.3%
h 746
 
5.0%
l 544
 
3.7%
Other values (47) 4237
28.7%
Common
ValueCountFrequency (%)
2998
75.6%
. 195
 
4.9%
< 176
 
4.4%
> 176
 
4.4%
, 139
 
3.5%
/ 90
 
2.3%
' 65
 
1.6%
- 37
 
0.9%
" 16
 
0.4%
2 12
 
0.3%
Other values (17) 63
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18697
99.7%
None 44
 
0.2%
Punctuation 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2998
16.0%
e 1754
 
9.4%
t 1224
 
6.5%
a 1183
 
6.3%
i 1075
 
5.7%
o 1035
 
5.5%
n 1026
 
5.5%
s 1019
 
5.5%
r 937
 
5.0%
h 746
 
4.0%
Other values (64) 5700
30.5%
None
ValueCountFrequency (%)
ç 10
22.7%
è 9
20.5%
é 9
20.5%
ï 6
13.6%
  5
11.4%
É 4
 
9.1%
ü 1
 
2.3%
Punctuation
ValueCountFrequency (%)
2
33.3%
2
33.3%
2
33.3%

Interactions

2023-08-05T14:10:07.269870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:05.255882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:05.753898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:06.280055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:06.782356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:07.376601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:05.351113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:05.864169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:06.382012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:06.883585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:07.496191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:05.457331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:05.969900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:06.486690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:06.980766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:07.629881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:05.562111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:06.086453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:06.591773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:07.081939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:07.738897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:05.657706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:06.180626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:06.688013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:07.176643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-08-05T14:10:15.896816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
idid_embeddedseasonnumberruntimetypeairtimeairstamp
id1.0000.632-0.1500.123-0.2390.0000.3130.343
id_embedded0.6321.000-0.665-0.209-0.1600.0000.3810.375
season-0.150-0.6651.0000.3250.0470.0000.0000.000
number0.123-0.2090.3251.000-0.2981.0000.5100.505
runtime-0.239-0.1600.047-0.2981.0000.0000.0000.248
type0.0000.0000.0001.0000.0001.0000.0000.376
airtime0.3130.3810.0000.5100.0000.0001.0000.877
airstamp0.3430.3750.0000.5050.2480.3760.8771.000

Missing values

2023-08-05T14:10:07.904872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-05T14:10:08.180242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-08-05T14:10:08.370320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
024015867847https://www.tvmaze.com/episodes/2401586/po-sezonu-videodajdzest-seasonvar-8x49-vypusk-407Выпуск 407849.0regular2022-12-082022-12-08T00:00:00+00:008.0NoneNoneNonehttps://api.tvmaze.com/episodes/2401586https://api.tvmaze.com/shows/7847None
1245090955724https://www.tvmaze.com/episodes/2450909/hocu-vse-znat-2x89-seria-89Серия 89289.0regular2022-12-082022-12-08T00:00:00+00:0012.0NoneNoneNonehttps://api.tvmaze.com/episodes/2450909https://api.tvmaze.com/shows/55724None
2245091055724https://www.tvmaze.com/episodes/2450910/hocu-vse-znat-2x90-seria-90Серия 90290.0regular2022-12-082022-12-08T00:00:00+00:0012.0NoneNoneNonehttps://api.tvmaze.com/episodes/2450910https://api.tvmaze.com/shows/55724None
3243811859201https://www.tvmaze.com/episodes/2438118/restoran-po-ponatiam-2x09-seria-19Серия 1929.0regular2022-12-082022-12-08T00:00:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2438118https://api.tvmaze.com/shows/59201None
4243811959201https://www.tvmaze.com/episodes/2438119/restoran-po-ponatiam-2x10-seria-20Серия 20210.0regular2022-12-082022-12-08T00:00:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2438119https://api.tvmaze.com/shows/59201None
5241769660687https://www.tvmaze.com/episodes/2417696/alisa-ne-mozet-zdat-s01-special-film-o-filmeФильм о фильме1NaNinsignificant_special2022-12-0812:002022-12-08T00:00:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2417696https://api.tvmaze.com/shows/60687None
6240116064208https://www.tvmaze.com/episodes/2401160/konec-sveta-1x08-bal-satanyБал сатаны18.0regular2022-12-082022-12-08T00:00:00+00:0047.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084532.jpghttps://static.tvmaze.com/uploads/images/original_untouched/433/1084532.jpghttps://api.tvmaze.com/episodes/2401160https://api.tvmaze.com/shows/64208None
7242482064267https://www.tvmaze.com/episodes/2424820/s-nula-1x05-seria-05Серия 0515.0regular2022-12-082022-12-08T00:00:00+00:0045.0NoneNoneNonehttps://api.tvmaze.com/episodes/2424820https://api.tvmaze.com/shows/64267None
8241760964512https://www.tvmaze.com/episodes/2417609/kungur-1x09-9-seria9 серия19.0regular2022-12-082022-12-08T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2417609https://api.tvmaze.com/shows/64512None
9244009365481https://www.tvmaze.com/episodes/2440093/a-slezu-za-toboj-1x04-seria-4Серия 414.0regular2022-12-082022-12-08T00:00:00+00:00NaNNoneNoneNonehttps://api.tvmaze.com/episodes/2440093https://api.tvmaze.com/shows/65481None
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183246645166309https://www.tvmaze.com/episodes/2466451/la-rebelion-1x05-crisisCrisis15.0regular2022-12-082022-12-08T17:00:00+00:0035.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/441/1102949.jpghttps://static.tvmaze.com/uploads/images/original_untouched/441/1102949.jpghttps://api.tvmaze.com/episodes/2466451https://api.tvmaze.com/shows/66309<p>The arrival of Diego and Regina at the farm at the same time as the disappearance of Ivonne's ex-husband puts everyone in crisis.</p>
184249386767082https://www.tvmaze.com/episodes/2493867/inside-monster-jam-1x15-john-saponaro-and-matt-isbillJohn Saponaro and Matt Isbill115.0regular2022-12-082022-12-08T17:00:00+00:0041.0NoneNoneNonehttps://api.tvmaze.com/episodes/2493867https://api.tvmaze.com/shows/67082<p>On this season finale of "Inside Monster Jam," John Saponaro and Matt Isbill join Scott Jordan to discuss life on the road and preview the 2023 Arena and Stadium Championship Series.</p>
185245984362205https://www.tvmaze.com/episodes/2459843/bachelorette-sverige-3x16-avsnitt-16Avsnitt 16316.0regular2022-12-0819:002022-12-08T18:00:00+00:0060.0NoneNoneNonehttps://api.tvmaze.com/episodes/2459843https://api.tvmaze.com/shows/62205None
186243034417046https://www.tvmaze.com/episodes/2430344/notruf-hafenkante-17x12-frohe-weihnachtenFrohe Weihnachten1712.0regular2022-12-0819:252022-12-08T18:25:00+00:0045.0NoneNoneNonehttps://api.tvmaze.com/episodes/2430344https://api.tvmaze.com/shows/17046None
187241935358216https://www.tvmaze.com/episodes/2419353/husdrommar-sicilien-3x07-han-far-fria-handerHan får fria händer!37.0regular2022-12-0821:002022-12-08T20:00:00+00:0030.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/435/1088584.jpghttps://static.tvmaze.com/uploads/images/original_untouched/435/1088584.jpghttps://api.tvmaze.com/episodes/2419353https://api.tvmaze.com/shows/58216None
188231062443081https://www.tvmaze.com/episodes/2310624/i-am-3x01-i-am-ruthI Am Ruth31.0regular2022-12-0821:002022-12-08T21:00:00+00:00125.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084486.jpghttps://static.tvmaze.com/uploads/images/original_untouched/433/1084486.jpghttps://api.tvmaze.com/episodes/2310624https://api.tvmaze.com/shows/43081<p>Ruth, a loving and concerned mother, witnesses her teenage daughter Freya retreating into herself as she becomes more and more consumed by the pressures of social media.</p>
189243522758174https://www.tvmaze.com/episodes/2435227/the-traitors-1x06-episode-6Episode 616.0regular2022-12-0821:002022-12-08T21:00:00+00:0057.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084164.jpghttps://static.tvmaze.com/uploads/images/original_untouched/433/1084164.jpghttps://api.tvmaze.com/episodes/2435227https://api.tvmaze.com/shows/58174<p>With the stakes getting higher and the faithful feeling like they are on the back foot, can they change the course of the reality game and put the traitors under fire? With life-changing money still at stake, the players must also remain focused on building the prize pot in a mission that sees them sink to new depths of despair. But that's the least of their worries, with an explosive round table on the horizon.</p>
19025019126220https://www.tvmaze.com/episodes/2501912/infoman-23x12-episode-12Episode 122312.0regular2022-12-0819:302022-12-08T23:30:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2501912https://api.tvmaze.com/shows/6220None
191243919639145https://www.tvmaze.com/episodes/2439196/de-ferias-com-o-ex-brasil-9x08-episodio-8Episódio 898.0regular2022-12-0822:002022-12-09T00:00:00+00:0060.0NoneNoneNonehttps://api.tvmaze.com/episodes/2439196https://api.tvmaze.com/shows/39145None
192244436039145https://www.tvmaze.com/episodes/2444360/de-ferias-com-o-ex-brasil-s09-special-no-estudio-com-o-ex-caribe-s02e08No Estúdio com o Ex Caribe S02E089NaNinsignificant_special2022-12-0822:002022-12-09T00:00:00+00:0060.0NoneNoneNonehttps://api.tvmaze.com/episodes/2444360https://api.tvmaze.com/shows/39145None